Browsing Department of Physical Science by Title

Browsing Department of Physical Science by Title

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  • Efficient Switch Architectures for Pre-configured Backup Protection with Sharing in Elastic Optical Networks 
    Suthaharan, S; Ratnam, K; Ragel, R.G (IEEE 7th International Conference on Information and Automation for Sustainability (ICIAfS'14), 2014)
    In this paper, we address the problem of providing survivability in elastic optical networks (EONs). EONs use fine granular frequency slots or flexible grids, when compared to the conventional fixed grid networks and ...
  • Electricity Usage Monitoring and Alerting System 
    Amrithaa, P.; Shorubiga, P.; Thanoojan, T.; Kartheeswaran, T. (IEEE, 03-12-20)
    Electricity is one of the inevitable sources of energy in our day to day life. Almost every single device we use from the moment we wake up until going to bed is electrically powered. Meanwhile, there is always a problem ...
  • Enhanced Symmetric Cryptography for IoT using Novel Random Secret Key Approach 
    Gopinath, S.; Nagulan, R. (IEEE, 2020-12-10)
    The deployment of IoT devices in different domains enables technical innovations and value-added services to users but also creates multiple requirements in terms of effective communication and security. IoT devices are ...
  • Environmentally friendly Methods to Control Eichhornia crassipes 
    Vijitharan, S.; Sivarajag, S.; Loganathan, P. (Ministry of Mahaweli Development & Environment, 20-01-17)
    The water hyacinth (Eichhornia crassipes) is a free-floats aquatic plant that has invaded the waterways and reservoirs in the Dry Zone of Sri Lanka. The study focused on preparing a compost using water hyacinth using the ...
  • Evaluation of blocking constraints for survivable WDM optical networks 
    Suthaharan, S; Sharfana, F A; Thiruvanantharajah, S (IEEE International Conference on Industrial and Information Systems (ICIIS), 2017)
    The advantage of a huge amount of data transmission in form of multimedia broadband services can be benefited using a technique called wavelength division multiplexing (WDM) technology. In WDM, the huge amount of bandwidth ...
  • Evaluation of the Structure and Functions of Home Gardens in Vavuniya District, Sri Lanka 
    Vijitharan, S (Vavuniya Campus of the University of Jaffna, 2017)
    Home gardens are conventional agro-forestry systems and characterized by the complexity of their structure and multiple functions. The objective of the study was to investigate the socioeconomic features of the study ...
  • Extracting knowledge from Noise Information 
    Chowuraya, T.; Kirushanth, S.; Kabaso, B. (Academic Conference International (ACI), 2018-11-12)
    Information is an important part of creating knowledge. We live at a time when so much information is created. Unfortunately, much of the information is redundant. There is huge amount of online information in the form of ...
  • A Feasibility Study of Compost Preparation by Using Household Waste (Kitchen Waste and Garden Waste) (A Case Study in KopayDS Division, Jaffna District) 
    Vijitharan, S (International Institute of Knowledge Management, 17-08-18)
    Home composting is a simple, cost effective and environmentally friendly method to manage the household biodegradable waste. The objectives of the study were to investigate the domestic waste management at household level, ...
  • Forecasting models for Dengue outbreak in Northern province of Sri Lanka 
    Jeyamugan, T. (Wayamba University of Sri Lanka, 20-08-16)
    The Dengue Hemorrhagic fever is one of frequently chronicled epidemiological scenario in thepast and ongoing time frame worldwide. Recently, trend of its outbreak seems numerousincidents partially deviated compare to ...
  • Gate connected convolutional neural network for object tracking 
    Kokul, T.; Fookes, C.; Sridharan, C.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP), 17-09-17)
    Convolutional neural networks (CNNs) have been employedin visual tracking due to their rich levels of feature representation.While the learning capability of a CNN increaseswith its depth, unfortunately spatial information ...
  • Generalized Stochastic Restricted LARS Algorithm 
    Kayanan, M.; Wijekoon, P. (Faculty of Science, University of Ruhuna, Sri Lanka, 2022-06-30)
    The Least Absolute Shrinkage and Selection Operator (LASSO) is used to tackle both the multicollinearity issue and the variable selection concurrently in the linear regression model. The Least Angle Regression (LARS) ...
  • Group Graph Measures of Brain Networks New Concepts and Definitions 
    Subaramya, V; Perera, A.A.I; Ratnarajah, N (Postgraduate Institute of Science, University of Peradeniya, 10-11-18)
    Brain networks consist of cortical and subcortical regions as nodes and connections between them as edges. These brain networks convey a huge amount of information that has been almost unexplored previously and the ...
  • Infoshare: A Digital Governance Community platform for Knowledge Sharing 
    Xolani, V.; Kirushanth, S.; Boniface, K. (Academic Conference International (ACI), 2018-11-12)
    With the easy availability of mobile devices and affordable bandwidth, there has been a proliferation of sharing of perceived expert information, with unreliable source, which have often not been tested in a specialized ...
  • The knowledge gathering and study pattern of undergraduate students of the Vavuniya campus of the university of Jaffna 
    Kayanan, M.; Kuhanesan, S. (South Eastern University of Sri Lanka, 20-12-16)
    The study examined the knowledge gathering and study pattern as contemplate example of undergraduates of Vavuniya Campus of the University of Jaffna. Precisely, the analysis made to determine the impact of gender and level ...
  • A Low-Cost Contactless Palm Print Device to Recognize Person based on Texture Measurement 
    Sharad, B.J.; Raut, S.D.; Humbe, V.T.; Kartheeswaran, T. (IJETSR, International Journal of Engineering Technology Science and Research, 10-02-16)
    Today’s Information Technology grows rapidly withnew technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An audio ...
  • Mean square error comparison between ridge and lasso estimators in the Misspecified linear regression model 
    Kayanan, M.; Wijekoon, P. (Postgraduate Institute of Science , University of Peradeniya, Sri Lanka, 09-11-18)
    It is well-known that the Ridge Estimator has been used as an alternative estimator for Ordinary Least Squared Estimator (OLSE) to handle multicollinearity problem in the linear regression model. However, it introduces ...
  • Modified Stochastic Restricted Ridge Estimator in Misspecified Linear Regression Model 
    Kayanan, M.; Wijekoon, P. (Institute of Applied Statistics, Sri Lanka, 28-12-18)
    Misspecification of the linear model due to omitting relevant explanatory variable from the model and multicollinearity among the explanatory variables are considered as two of the problems which are considered seriously ...
  • Monitoring Fermentation of Black Tea with Image Processing Techniques 
    Saranka, S.; Kartheeswaran, T.; Wanniarachchi, D.D.C.; Wanniarachchi, W.K.I.L. (Institute o f Physics - Sri Lanka, 32nd Technical Sessions, March 2016, Colombo, Sri Lanka, 22-05-16)
    The possibility to use digital images of tea particles as a tool to monitor fermentation ofblack tea processing is studied in this project. Copper green color is the predicted colorused to measure the degree of fermentation; ...
  • Multi Agent Based Audio Steganography 
    Kartheeswaran, T.; Senthooran, V.; Pemadasa, T. D. D. L. (IEEE, 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 21-03-16)
    Today’s Information Technology grows rapidly with new technologies and need more security for the data transmissionover the internet. Steganography is one of the solutions to ensurethe data secure over the internet. An ...
  • Multi-Label Segmentation White Matter Structures: Application to Neonatal Brains. 
    Nagulan, R.; Qiu, A. (ElSEVIER/NeuroImage, 15-11-14)
    Accurate and consistent segmentation of brain white matter bundles at neonatal stage plays an important role in understanding brain development and detecting white matter abnormalities for the prediction of psychiatric ...

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